Analysis of Electricity Consumption Characteristics and Electricity Load Reduction in Residential Houses Participating the Demand Response Program

2021 ◽  
Vol 28 (3) ◽  
pp. 314-323
Author(s):  
Chuan Yee Chew ◽  
Jeong Won Kim ◽  
Young Ran Yoon ◽  
Hyeun Jun Moon
Keyword(s):  
Demand Response ◽  
Electricity Consumption ◽  
Load Reduction ◽  
Demand Response Program ◽  
Electricity Load

scholarly journals Optimizing the time of use tariff with different scenarios of load management

2018 ◽  
Vol 20 (K7) ◽  
pp. 15-20
Author(s):  
Binh Thi Thanh Phan ◽  
Qui Minh Le ◽  
Cuong Viet Vo
Keyword(s):  
Demand Response ◽  
Peak Load ◽  
Electricity Consumption ◽  
Pso Algorithm ◽  
Load Management ◽  
Load Reduction ◽  
Load Curve ◽  
Demand Response Program ◽  
Unit Of Measurement ◽  
Effective Instrument

Demand Response program is applied in many countries as an effective instrument to regulate the electricity consumption. In this program, time of use (TOU) tariff is used widely. Optimal TOU pricing according to different objectives was mentioned in this paper such as peak load reduction, improving load curve, energy conservation, avoiding a new peak load. This is a problem with multiobjective functions in different unit of measurement and is solved by PSO algorithm. An example to find optimal TOU tariff for one utility is also presented in this paper.

The role of demand response in residential electricity load reduction using appliance shifting techniques

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Timothy King Avordeh ◽  
Samuel Gyamfi ◽  
Alex Akwasi Opoku
Keyword(s):  
Demand Response ◽  
Air Conditioning ◽  
Electricity Consumption ◽  
Response Strategy ◽  
Load Reduction ◽  
Residential Homes ◽  
Load Shifting ◽  
Content Type ◽  
Peak Loads ◽  
Residential Electricity

Purpose Some of the major concerns since the implementation of smart meters (prepaid meters) in some parts of Ghana is how electricity consumers have benefited from data obtained from these meters by providing important statistics on electricity-saving advice; this is one of the key demand-side management methods for achieving load reduction in residential homes. Appliance shifting techniques have proved to be an effective demand response strategy in load reduction. The purpose of this paper is therefore to help consumers of electricity understand when and how they can shift some appliances from peak to off-peak and vice versa. Design/methodology/approach The research uses an analysis technique of Richardson et al. (2010). In their survey on time-of-use surveys to determine the usage of electricity in households as far as appliance shifting was concerned, this study allowed for the assessment of how the occupants’ daily activities in households affect residential electricity consumption. Fell et al. (2014) modeled an aggregate of electricity demand using different appliances (n) in the household. The data for the peak time used in this study were identified from 05:00 to 08:00 and 17:00 to 21:00 for testing the load shifting algorithms, and the off-peak times were pecked from 10:00 to 16:00 and 23:00. This study technique used load management considering real-time scheduling for peak levels in the selected homes. The household devices are modeled in terms of controlled parameters. Using this study’s time-triggered loads on refrigerators and air conditioning systems, the findings suggested that peak loads can be reduced to 45% as a means of maintaining the simultaneous quality of service. To minimize peak loads to around 35% or more, Chaiwongsa and Wongwises (2020) have indicated that room air conditioning and refrigerator loads are simpler to move compared to other household appliances such as cooking appliances. Yet in conclusion, this study made a strong case that a decrease in household peak demand for electricity is primarily contingent on improvements in human behavior. Findings This study has shown that appliance load shifting is a very good way of reducing electrical consumption in residential homes. The comparative performance shows a moderate reduction of 1% in load as was found in the work done by Laicaine (2014). The results, however, indicate that load shifting to a large extent can be achieved by consumer behavioral change. The main response to this study is to advise policymakers in Ghana to develop the appropriate demand response and consumer education towards the general reduction in electrical load in domestic households. The difficulty, however, is how to get the attention of consumer’s on how to start using appliances with less load at peak and also shift some appliances from off-peak times. By increasing consumer knowledge and participation in demand response, it is possible to achieve more efficiency and flexibility in load reduction. The findings were benchmarked with existing comparison studies but may benefit from the potential production of structured references. However, the findings show that load shifting can only be done by modifying consumer actions. Research limitations/implications It should be remembered that this study showed that the use of appliances shifting in residential homes results in load reduction benefits for customers, expressed as savings in electricity prices. The next step will be to build on this cost/benefit study to explain and measure how these reductions transform into net consumer gains for all Ghanaian households. Practical/implications Load shifting will include load controllers in the future, which would automatically handle electricity consumption from various appliances in the home. Based on the device and user needs, the controllers can prioritize loads and appliance usage. The algorithms that underpin automatic load controllers will include knowledge about the behaviors of groups of end users. The results on the time dependency of activities may theoretically inform the algorithms of automatic demand controllers. Originality/value This paper addresses an important need for the country in the midst of finding solutions to an unending energy crisis. This paper presents demand response to the Ghanaian electricity consumer as a means to help in the reduction of load in residential homes. This is a novel research as no one has at yet carried out any research in this direction in Ghana. This paper has some new information to offer in the field of demand in household electricity consumption.

The chiller’s electricity consumption simulation by considering the demand response program in power system

2019 ◽  
Vol 149 ◽  
pp. 1114-1124 ◽  
Author(s):  
Zehui Shao ◽  
Ehsan Gholamalizadeh ◽  
Albert Boghosian ◽  
Behnam Askarian ◽  
Zhenling Liu
Keyword(s):  
Power System ◽  
Demand Response ◽  
Electricity Consumption ◽  
Demand Response Program

An Intelligent Household Electricity Load Control Method Based on Demand Response

2015 ◽  
Vol 740 ◽  
pp. 307-310 ◽  
Author(s):  
Zhao Yang Qu ◽  
Tian Hang Zhang ◽  
Jia Yan ◽  
Shao Qing Xu
Keyword(s):  
Demand Response ◽  
Control Method ◽  
Electricity Consumption ◽  
Load Control ◽  
On Demand ◽  
Complex Functions ◽  
Reduce Electricity Consumption ◽  
Electricity Load ◽  
Smart House ◽  
Design Experiments

This paper presents a method for smart house electricity load control. The method, combined with TOU price and Real-time pricing, arranges various appliances and meets daily household electricity demand at the same time, so that to reduce the daily electricity consumption and realize Demand Response. First, this paper attempts to summarize problem witch need to be solved for realizing load control in a smart house. Second, the smart house load control problem was described as high-dimensional complex functions unconstrained optimization model and solved with Particle Swarm Optimization. Finally, design experiments used the method for a smart house. Experimental results show that the method can arrange various appliances and reduce electricity consumption.

Nudging down household electricity usage during peak hours with small monetary rewards

2021 ◽  
pp. 0958305X2110256
Author(s):  
Miyoung Lee ◽  
Daehwan Kim
Keyword(s):  
Demand Response ◽  
Financial Incentive ◽  
Electricity Consumption ◽  
Long Span ◽  
Monetary Rewards ◽  
Repeated Calls ◽  
Demand Response Program ◽  
Reduce Electricity Consumption ◽  
One Year ◽  
The One

Two recent studies highlight the potential of a demand response (DR) program as a tool to manage peak-hour electricity consumption by households. Households in these studies respond to the offer of financial rewards or an appeal to the sense of civic duty and significantly reduce electricity consumption during declared peak hours. Due to the small number of peak events included in these studies, however, a question remains whether households will continue to respond to repeated calls to action over a long span of time. We analyze a demand response program of Gangwon Province, South Korea, called “Electricity Piggy Bank” where the incentive offered was in the form of small monetary reward together with an appeal to social consciousness. The program tracked the electricity usage of about 2,000 households over one-year period during which peak events were declared once a week. We find significant reduction in electricity usage during declared peak hours and, more importantly, no decay of effects over time. The magnitude of electricity savings during peak hours is no less than the one reported for the previous financial-incentive-based DR, suggesting that offering small monetary rewards together with pro-social stimuli can be a viable alternative to a financial-reward-oriented scheme.

scholarly journals Demand Response Programs Management in an Energy Community with Diversity of Appliances

2021 ◽  
Vol 239 ◽  
pp. 00023
Author(s):  
Rúben Barreto ◽  
Pedro Faria ◽  
Zita Vale
Keyword(s):  
Demand Response ◽  
Electricity Consumption ◽  
Primary Objective ◽  
Demand Response Program ◽  
Energy Community ◽  
Demand Response Programs ◽  
The Given ◽  
Peak Set

This paper shows the behaviour of a Demand Response program designed to be implemented in Energy Communities, where they take advantage of photovoltaic production. The primary objective is to manage both photovoltaic overproduction and village consumption efficiently. The DR program focuses on looking for consecutive periods that exceed a target peak set by the aggregator after analysing the consumption of the given energy community. The case study includes three villages, where participants are expected to be members of a community. The results are that participants will see a reduction in costs and electricity consumption.

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